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100   $a20130704d2013      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aProbability Models /$fby John Haigh
205   $a2nd ed. 2013.
210  1$aLondon :$cSpringer London :$cImprint: Springer,$d2013.
215   $a1 online resource (XII, 287 p. 17 illus.) 
225 1 $aSpringer Undergraduate Mathematics Series,$x1615-2085
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a1-4471-5342-1 
320   $aIncludes bibliographical references and index.
327   $aProbability Spaces -- Conditional Probability and Independence -- Common Probability Distributions -- Random Variables -- Sums of Random Variables -- Convergence and Limit Theorems -- Stochastic Processes in Discrete Time -- Stochastic Processes in Continuous Time -- Appendix: Common Distributions and Mathematical Facts.
330   $aThe purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability, such as that of a dice or cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. This popular second edition textbook contains many worked examples and several chapters have been updated and expanded. Some mathematical knowledge is assumed. The reader should have the ability to work with unions, intersections and complements of sets; a good facility with calculus, including integration, sequences and series; and appreciation of the logical development of an argument. Probability Models< is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics.
410  0$aSpringer Undergraduate Mathematics Series,$x1615-2085
606   $aProbabilities
606   $aComputer simulation
606   $aMathematical statistics
606   $aOperations research
606   $aDecision making
606   $aComputer science?Mathematics
606   $aComputer science$xMathematics
606   $aMathematical physics
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
606   $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000
606   $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aMathematical Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M13110
606   $aMathematical Applications in the Physical Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13120
615  0$aProbabilities.
615  0$aComputer simulation.
615  0$aMathematical statistics.
615  0$aOperations research.
615  0$aDecision making.
615  0$aComputer science?Mathematics.
615  0$aComputer science$xMathematics.
615  0$aMathematical physics.
615 14$aProbability Theory and Stochastic Processes.
615 24$aSimulation and Modeling.
615 24$aProbability and Statistics in Computer Science.
615 24$aOperations Research/Decision Theory.
615 24$aMathematical Applications in Computer Science.
615 24$aMathematical Applications in the Physical Sciences.
676   $a519.2
700   $aHaigh$b John$4aut$4http://id.loc.gov/vocabulary/relators/aut$0261994
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910438032603321
996   $aProbability models$9703393
997   $aUNINA